Early exit for natural language processing models

Barak Battach; Amit Bleiweiss; Haim Barad; Intel Corp

Early exit for natural language processing models

Barak Battach (Inventor), Amit Bleiweiss (Inventor), Haim Barad (Inventor), Intel Corp (Inventor)

Bar-Ilan University - The Alexander Kofkin Faculty of Engineering

Research output: Patent

Abstract

The disclosure provides a natural language processing (NLP) model arranged to operate on two lexicons, where one lexicon is a sub-set of the other lexicon. The NLP model can be arranged to generate output based on the sub-set lexicon and exit processing of the NLP model, to potentially save computation cycles.

Original language	English
State	Published - 14 May 2019

Bibliographical note

[Online; accessed 28. Aug. 2024]

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https://patents.google.com/patent/US11544461B2/en

Cite this

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title = "Early exit for natural language processing models",

abstract = "The disclosure provides a natural language processing (NLP) model arranged to operate on two lexicons, where one lexicon is a sub-set of the other lexicon. The NLP model can be arranged to generate output based on the sub-set lexicon and exit processing of the NLP model, to potentially save computation cycles.",

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AU - Bleiweiss, Amit

AU - Barad, Haim

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PY - 2019/5/14

Y1 - 2019/5/14

N2 - The disclosure provides a natural language processing (NLP) model arranged to operate on two lexicons, where one lexicon is a sub-set of the other lexicon. The NLP model can be arranged to generate output based on the sub-set lexicon and exit processing of the NLP model, to potentially save computation cycles.

AB - The disclosure provides a natural language processing (NLP) model arranged to operate on two lexicons, where one lexicon is a sub-set of the other lexicon. The NLP model can be arranged to generate output based on the sub-set lexicon and exit processing of the NLP model, to potentially save computation cycles.

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Early exit for natural language processing models

Abstract

Bibliographical note

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